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Iranian Journal of Medical Physics، جلد ۲۱، شماره ۲، صفحات ۷۸-۸۳
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عنوان انگلیسی A Comparative Study on Tissue Classification of Brain MR Images Using DIPY, SPM, and FSL Frameworks
چکیده انگلیسی مقاله Introduction: Complexity metrics have been suggested to characterize treatment plans based on machine parameters such as multileaf collimator (MLC) position. Several complexity metrics have been proposed and related to the Intensity-modulated radiation therapy (IMRT) quality assurance results. This study aims to evaluate aperture-based complexity metrics on MLC openings used in clinicaland establish a correlation between plan complexity and the gamma passing rate (GPR) for the IMRT plans.Material and Methods: We implemented the aperture-based complexity metric on MLC openings of the IMRT treatment plan for breast  and central nervous system (CNS) cases . The modulation complexity score (MCS), the edge area metric (EAM), the converted area metric (CAM), the circumference/area (CPA), and the ratio monitor unit MU/Gy are evaluated in this study. The complexity score was calculated using Matlab. The MatriXX Evolution was used for dose verification. The dose distribution was  analyzed using the OmniPro-I'mRT program  and the gamma index was assessed using two criteria: 3%/3 mm and 3%/2 mm. The correlation between the calculated complexity score and the GPR  is analyzed using SPSS.Results: The complexity score calculated by MCS, EAM, CAM, CPA, and MU/Gy shows breast plan is more complex than the CNS plan. The results of the correlation test of the complexity metric and GPR show that only the EAM metric shows a good correlation with GPR for both cases.Conclusion: EAM strongly correlates with the gamma pass rate. The MCS, CAM, CPA, and MU/Gy have a weak correlation with the GPR.
کلیدواژه‌های انگلیسی مقاله Image Processing, Magnetic Resonance, Medical Imaging
نویسندگان مقاله | Iman Azinkhah
Fintech in Medicine Research Center, Iran University of Medical Sciences, Tehran, Iran Medical physics department, Faculty of medicine, Iran university of medical sciences, Tehran, Iran


| Mahdi Sadeghi
Fintech in Medicine Research Center, Iran University of Medical Sciences, Tehran, Iran Medical physics department, Faculty of medicine, Iran university of medical sciences, Tehran, Iran
نشانی اینترنتی https://ijmp.mums.ac.ir/article_21924.html
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زبان مقاله منتشر شده en
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نوع مقاله منتشر شده Original Paper
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